| /* |
| * Copyright (c) 2020-2021 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "tests/validation/reference/Logical.h" |
| #include "src/core/KernelTypes.h" |
| #include "tests/framework/Asserts.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T> |
| T logical_binary_op(arm_compute::LogicalOperation op, T src1, T src2) |
| { |
| switch(op) |
| { |
| case arm_compute::LogicalOperation::And: |
| return src1 && src2; |
| case arm_compute::LogicalOperation::Or: |
| return src1 || src2; |
| // The following operators are either invalid or not binary operator |
| case arm_compute::LogicalOperation::Not: |
| // fall through |
| case arm_compute::LogicalOperation::Unknown: |
| // fall through |
| default: |
| ARM_COMPUTE_ASSERT(true); |
| } |
| return T{}; |
| } |
| |
| template <size_t dim> |
| struct BroadcastUnroll |
| { |
| template <typename T> |
| static void unroll(arm_compute::LogicalOperation op, const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, SimpleTensor<T> &dst, |
| Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst) |
| { |
| const bool src1_is_broadcast = (src1.shape()[dim - 1] != dst.shape()[dim - 1]); |
| const bool src2_is_broadcast = (src2.shape()[dim - 1] != dst.shape()[dim - 1]); |
| |
| id_src1.set(dim - 1, 0); |
| id_src2.set(dim - 1, 0); |
| id_dst.set(dim - 1, 0); |
| #if defined(_OPENMP) |
| #pragma omp parallel for |
| #endif /* _OPENMP */ |
| for(size_t i = 0; i < dst.shape()[dim - 1]; ++i) |
| { |
| BroadcastUnroll < dim - 1 >::unroll(op, src1, src2, dst, id_src1, id_src2, id_dst); |
| |
| id_src1[dim - 1] += !src1_is_broadcast; |
| id_src2[dim - 1] += !src2_is_broadcast; |
| ++id_dst[dim - 1]; |
| } |
| } |
| }; |
| |
| template <> |
| struct BroadcastUnroll<0> |
| { |
| template <typename T> |
| static void unroll(arm_compute::LogicalOperation op, const SimpleTensor<T> &src1, const SimpleTensor<T> &src2, SimpleTensor<T> &dst, |
| Coordinates &id_src1, Coordinates &id_src2, Coordinates &id_dst) |
| { |
| dst[coord2index(dst.shape(), id_dst)] = logical_binary_op(op, src1[coord2index(src1.shape(), id_src1)], src2[coord2index(src2.shape(), id_src2)]); |
| } |
| }; |
| |
| template <typename T> |
| SimpleTensor<T> logical_or(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2) |
| { |
| Coordinates id_src1{}; |
| Coordinates id_src2{}; |
| Coordinates id_dst{}; |
| SimpleTensor<T> dst{ TensorShape::broadcast_shape(src1.shape(), src2.shape()), src1.data_type() }; |
| |
| BroadcastUnroll<Coordinates::num_max_dimensions>::unroll(arm_compute::LogicalOperation::Or, src1, src2, dst, id_src1, id_src2, id_dst); |
| |
| return dst; |
| } |
| |
| template <typename T> |
| SimpleTensor<T> logical_and(const SimpleTensor<T> &src1, const SimpleTensor<T> &src2) |
| { |
| Coordinates id_src1{}; |
| Coordinates id_src2{}; |
| Coordinates id_dst{}; |
| SimpleTensor<T> dst{ TensorShape::broadcast_shape(src1.shape(), src2.shape()), src1.data_type() }; |
| |
| BroadcastUnroll<Coordinates::num_max_dimensions>::unroll(arm_compute::LogicalOperation::And, src1, src2, dst, id_src1, id_src2, id_dst); |
| |
| return dst; |
| } |
| |
| template <typename T> |
| SimpleTensor<T> logical_not(const SimpleTensor<T> &src) |
| { |
| SimpleTensor<T> dst(src.shape(), src.data_type()); |
| #if defined(_OPENMP) |
| #pragma omp parallel for |
| #endif /* _OPENMP */ |
| for(int i = 0; i < src.num_elements(); ++i) |
| { |
| dst[i] = !src[i]; |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<uint8_t> logical_or(const SimpleTensor<uint8_t> &src1, const SimpleTensor<uint8_t> &src2); |
| template SimpleTensor<uint8_t> logical_and(const SimpleTensor<uint8_t> &src1, const SimpleTensor<uint8_t> &src2); |
| template SimpleTensor<uint8_t> logical_not(const SimpleTensor<uint8_t> &src1); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |